ANOMALY DETECTION IN STORAGE SYSTEMS

    公开(公告)号:US20230035666A1

    公开(公告)日:2023-02-02

    申请号:US17391463

    申请日:2021-08-02

    Abstract: A method of preparing an input vector for a neural network includes capturing a plurality of information about a storage system, including workload types, a processing graph, and read/write histograms, and creating a correlation matrix from processing times of different levels of processes in a workload of the storage system. The input vector is prepared with a workload vector representing the workload types, a behavior matrix representing the processing graph, a read/write histogram shape matrix representing the read/write histograms, and the correlation matrix.

    Asynchronous framework
    3.
    发明授权

    公开(公告)号:US11442715B1

    公开(公告)日:2022-09-13

    申请号:US16916063

    申请日:2020-06-29

    Inventor: Anatolii Bilenko

    Abstract: A framework, method, and system for generating asynchronous code from state machines coded in a synchronous manner are described. The code is pre-processed into asynchronous code based on the framework prior to compilation thereof. The framework may include various structures and functions such as a save structure, a reentry function, a block wrapping function and a yield identification function.

Patent Agency Ranking